Published August 20, 2025
| Version v2
Dataset
Open
LAUTx - Individual Tree Point Clouds From Austrian Forest Inventory Plots
Authors/Creators
Contributors
Data collectors:
- 1. University of Natural Resources and Life Sciences, Vienna
Description
This dataset contains manually segmented tree point clouds from Personal Laser Scanning (PLS) data, and additionally automatic segmented trees from the same point clouds. The raw point cloud data has been published in LAUT - Terrestrial and Personal laser scanner data from Austrian forest Inventory plots (https://doi.org/10.5281/zenodo.3698956) and six of those plots were processed for this data. Purpose of this data is to serve as benchmarking for automatic tree segmentation algorithms.
Files
APPENDIX_TABLES.pdf
Files
(7.8 GB)
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md5:9e0494447b679f2de3f4d32d8f6c4913
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md5:4922b614dd930b94eef965feb0630f19
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2.0 GB | Preview Download |
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md5:441d30b93d25502aa0c7ddbc6a675897
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3.5 GB | Preview Download |
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md5:fa82ceb131e0c9a5b96153a76e51e535
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137.6 kB | Preview Download |
Additional details
Related works
- Is derived from
- Dataset: 10.5281/zenodo.3698956 (DOI)
- Dataset: 10.25625/QUTUWU (DOI)
References
- Gollob, Christoph, et al. "LAUT - Terrestrial and Personal laser scanner data from Austrian forest Inventory plots". Zenodo (2020), doi: 10.5281/zenodo.3698956
- Tockner, Andreas, et al. "Automatic tree crown segmentation using dense forest point clouds from Personal Laser Scanning (PLS)." International Journal of Applied Earth Observation and Geoinformation 114 (2022): 103025, doi: 10.1016/j.jag.2022.103025
- Henrich, Jonathan, et al. "TreeLearn: A deep learning method for segmenting individual trees from ground-based LiDAR forest point clouds." Ecological Informatics 84 (2024): 102888, doi: (10.1016/j.jag.2022.103025)